Data Architect job opportunity at Weekday AI.



Date2026-01-29T06:46:33.930Z bot
Weekday AI Data Architect
Experience: 8-years
Pattern: Full-time
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loacation Chennai, India
loacation Chennai....India

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA) Min Experience: 8 years Location: Chennai JobType: full-time The Data Architect is responsible for designing, building, and governing scalable, secure, and high-performing data architectures that enable analytics, integrations, and real-time data processing across the organization. This role works closely with Solution Architects, Data Engineers, and cross-functional stakeholders to ensure data platforms align with business objectives and enterprise architecture standards. Key Responsibilities Translate business and technical requirements into robust data architecture designs and specifications. Design, document, and maintain logical and physical data models, data flows, and integration patterns. Collaborate with Solution Architects to ensure alignment between data architecture, applications, and system interactions. Define and enforce architecture standards and best practices across relational, NoSQL, streaming, and cloud-based data solutions. Act as an architecture lead across discovery, planning, and delivery phases of data initiatives. Provide technical guidance to data engineering teams to ensure solutions adhere to architectural principles. Review designs and implementations to ensure scalability, performance, security, and compliance. Drive platform evolution through reusable, modular, and future-ready architecture patterns. Establish standards for data modeling, metadata management, naming conventions, and data access controls. Ensure compliance with data privacy, classification, governance, and audit requirements. Partner with Product, Engineering, DevOps, and Analytics teams to deliver end-to-end data solutions. Serve as a subject matter expert on data structures, semantics, and lifecycle management across key business domains. Required Skills & Experience 7+ years of experience in data engineering or data architecture, with at least 3 years in an architecture-focused role. Strong expertise in cloud platforms such as GCP and/or Azure , including native data services. Deep understanding of relational databases, NoSQL systems, and object storage architectures. Hands-on experience with Oracle and PostgreSQL ; proficiency in Python preferred. Experience with infrastructure-as-code (IaC) and CI/CD pipelines for data platforms. Excellent communication and stakeholder management skills, with the ability to influence across teams. Highly organized, self-driven, and capable of managing multiple initiatives in parallel.

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